Re: PostgreSQL 8.4 performance tuning questions

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От Stefan Kaltenbrunner
Тема Re: PostgreSQL 8.4 performance tuning questions
Дата
Msg-id 4A71E2FB.3070500@kaltenbrunner.cc
обсуждение исходный текст
Ответ на Re: PostgreSQL 8.4 performance tuning questions  (Tom Lane <tgl@sss.pgh.pa.us>)
Ответы Re: PostgreSQL 8.4 performance tuning questions  (Scott Carey <scott@richrelevance.com>)
Список pgsql-performance
Tom Lane wrote:
> "Kevin Grittner" <Kevin.Grittner@wicourts.gov> writes:
>> Since the dump to custom format ran longer than the full pg_dump
>> piped directly to psql would have taken, the overall time to use this
>> technique is clearly longer for our databases on our hardware.
>
> Hmmm ... AFAIR there isn't a good reason for dump to custom format to
> take longer than plain text dump, except for applying compression.
> Maybe -Z0 would be worth testing?  Or is the problem that you have to
> write the data to a disk file rather than just piping it?

I always dump with -Z0(and compress afterwards or even in a pipe to get
two cores busy) because otherwise custom dump times are simply ridiculous.
However Kevin is on something here - on the typical 4-8 core box I
tested I managed to an around cores/2 speedup for the restore which
means that for a pure upgrade or testing similiar to what kevin is doing
custom dumps + parallel restore might result in no win or even a loss.

On on of our datasets I did some benchmarking a while ago (for those who
attended bruce pg_migrator talk @pgcon these are same numbers):


* 150GB Database (on-disk - ~100GB as a plain text dump)

time to dump(-C0):                 120min
time to restore(single threaded):    180min
time to restore(-j 16):            59min

however the problem is that this does not actually mean that parallel
restore shaves you ~120min in dump/restore time because you get the
following real runtimes:

plain text dump + single threaded restore in a pipe: 188min
custom dump to file + parallel restore:    179min


this is without compression, with the default custom dump + parallel
restore is way slower than the simple approach on reasonable hardware.


Stefan

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